Quantitative Data

1. Trend Analysis: Quantitative data

2. Face to face Interviews,online telephonic interviews, Computer assisted interview.

3. SWOT Analysis: Quantitative Data Analysis method, indicate strength, weakness, opportunities and threats.

4. Cross Tabulation: It contains data that is mutallu exclusive or have some connection with each other.

5. Relate measurement scales with variables.

6. Text Analysis: This method is used when the raw survey data is unstructured-

7. Methods of Collection

7.1. E-mail: Sending a survey via e-mail.

7.2. QR code: Use QR code for the survey.

7.3. One-on-one Interviews: Can be telephonic or online.

8. Analysis Methods

9. Steps to Conduct Quatitative Data Analysis:

9.1. Connect descriptive statistics with data.

9.2. Decide a Measurement Scale

9.3. Select appropriate tables to represent data and analyze Collected data

10. Advantages: Conduct in depth Research, Accurate results.

11. Disadvantages: Restricted Information, depends on question type.

12. Advantages and Disadvantages:

13. Value of Data, each data set has unique numerical value associated with it.

14. Types of Quantitative Data

14.1. Counter: Count equated with entities.

14.2. Measurement of Physical Objects:

14.2.1. Projection of Data:Future projection of data can be used by algorithms.

14.3. Example: How Much did the laptop costs?

14.4. Sensory Calculation: Measure parameters to create a constant source of information.

14.5. Quantification of Qualitative entities: Use an online survey.